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@k16shikano
k16shikano / SKILL.md
Last active June 23, 2026 06:59
japanese-tech-writing/SKILL
name japanese-tech-writing
description 日本語の技術文書・書籍原稿の文章規範。整形(一文一行、引用ブロック、脚注、コラム記法)、段落と論証の構成(パラグラフライティング)、論証の厳密さ(ツッコミどころの除去)、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。

日本語技術文書の文章規範

日本語で技術的な原稿(書籍の章、記事、解説文)を書く・推敲するときは、以下の規範に従う。

整形

@gwpl
gwpl / claude-continue-directory-migration.md
Created June 2, 2025 19:38
Claude Code `--continue` after Directory `mv` move - Migration Guide and Internal Mechanics explanation

Claude Code Continue Functionality: Directory Migration Guide ( Claude Code --continue after Directory mv move - Migration Guide and Internal Mechanics explanation )

This guide explains how to preserve Claude Code's --continue functionality when moving project directories, along with the underlying mechanics.

Note: Claude Code currently lacks built-in directory migration features. Each directory maintains independent conversation sessions, and history doesn't automatically transfer when projects are moved.

Quick Fix: Steps to Maintain Continue History

When you move a project directory and want to preserve your conversation history:

@ikrishagarwal
ikrishagarwal / setup-zsh-in-codespaces.md
Last active June 23, 2026 06:56
Setup starship, zsh suggestions and syntax highlight for your codespaces.

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

# AGENTS.md
## Engineering Philosophy
This project values small, direct, understandable code.
Prefer the simplest implementation that solves the problem without creating downstream complexity. Simple does not mean simplistic. It means the shortest clear path from point A to point B, with the fewest moving parts required to keep the system correct, maintainable, and easy to reason about.
Avoid enterprise-style ceremony unless it is clearly justified by the problem.